O-04: Secretory leukocyte protease inhibitor (SLPI) is a potent regulator of microbial induced monocyte activation and intestinal inflammation
Bibliographic record
Abstract
O-01 IL-10 receptor dependent signals regulate the generation and function of anti-inflammatory macrophages in mice and humans S.B. Snapper1 *, D. Shouval1, A. Biswas1, J.A. Goettel1, K. McCann1, J.C. Escher2, J.N. Samsom2, R.S. Somech3, B. Weiss3, R. Beier4, L. Conklin5, C.L. Ebens6, F.G.M. Santos7, M. Sherlock8, C. Klein9, A.M. Muise10, B.H. Horwitz11. 1Boston Children’s Hospital, Boston, United States of America, 2Erasmus Medical Center Sophia Children’s Hospital, Rotterdam, The Netherlands, 3Edmond and Lily Safra Children’s Hospital, Tel Hashomer, Israel, 4Hannover Medical School, Hannover, Germany, 5Children’s National Medical Center, Washington DC, United States of America, 6University of Michigan, Ann Arbor, United States of America, 7Hospital das Clinicas, Federal University of Minas Gerais, Minas Gerais, Brazil, 8McMaster Children’s Hospital, West Hamilton, Canada, 9Dr von Hauner Children’s Hospital, Munich, Germany, 10Hospital for Sick Children, Toronto, Canada, 11Harvard Medical School, Boston, United States of America
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".